"Connecting a backend project to an Elasticsearch database" matching MCP servers:

Enables AI assistants to search, analyze, and interact with Elasticsearch through natural language.

Read/write Elasticsearch mcp server with many tools

Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.

A read-only MCP server for Elasticsearch 7.10 clusters, providing tools for cluster info, health, index listing, and Query DSL search with Google OAuth and Bearer token authentication.

Enables secure and efficient interaction with Elasticsearch clusters through the Model Context Protocol, providing tools for data management, search, and export.

Provides specialized analytics tools for querying VSee's Elasticsearch stats-\* indices, including account/group metrics, visit trends, platform breakdowns, rating distributions, and subscription tier analysis.

Facilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.

Publishes a spending-summary tool alongside an interactive HTML view, letting people click a category in the answer to fetch the individual expense records behind that total. Keeps calculations and their supporting evidence together in a single inspectable flow.

Provides persistent, intelligent memory using Elasticsearch with hierarchical categorization and semantic search for LLM contexts.

An MCP server that enables AI assistants to directly interact with Elasticsearch for searching, aggregating, and retrieving documents from indices, supporting full-text search, semantic search, and various query modes.

Transforms Elasticsearch into an AI-powered observability engine for analyzing logs, APM traces, and system metrics through natural language.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

MCP server for connecting to databases (PostgreSQL, MySQL, SQL Server, Redis) enabling SQL queries, table exploration, and Redis key-value operations.

MCP server that exposes an email verification tool, returning verdicts of valid, invalid, or risky with reasons.

Read-only MCP server that converts Elasticsearch logs into citable evidence for AI agents, offering deterministic log summarization and search tools.

Connects ElevenLabs voice agents to Supabase for real-time order lookups, enabling voice agents to retrieve order status, tracking, and delivery information through the lookup_order tool.

Read-only MySQL/MariaDB MCP server for running SELECT queries safely, with automatic read-only enforcement and query limits.

Enables AI agents to format SQL, explain queries in plain English, analyze schemas, build queries from natural language, and generate migrations, all without requiring a database connection.

Enables SQL database interaction with true server-side result paging, runtime-managed connection profiles, and SSH-bridged access for PostgreSQL.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.